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DTL — Down The Line

Down The Line at Brook Bank

Brook Bank

Saturday, 23 August 2025 · CPSA Results →

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Event Rating

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Entries

94.9%

Field Average

97.7%

Highest Score

92.7%

Lowest Score

Top 3 Overall

🥈

Paul Garnsworthy

289/300

96.33%

🥇

Gerrald Sweet

293/300

97.67%

🥉

Brian Prettejohn

286/300

95.33%

Event Difficulty

94.9% This Event

vs. Brook Bank historical average (Down The Line)

↑ +3.6% easier than usual

Ground avg: 91.3%

Class Winners

AA 1 entered

293/300 — 97.67%

Gerrald Sweet

A 5 entered

286/300 — 95.33%

Brian Prettejohn

2: Malcolm Brown — 94.33%

B 2 entered

289/300 — 96.33%

Paul Garnsworthy

2: Geoff Eltham — 94.33%

C 1 entered

278/300 — 92.67%

Paul Sharman

Field Shape

94.9%

Field avg

Down The Line at Brook Bank had a 5.0 point scoring spread across 9 entries.

Spread 5.0 pts

Front 97.7%

Largest class A

A compact read of how the field performed: average, spread and where most shooters sat.

Score Distribution

90–100%

9 100.0%

80–89%

0 0.0%

70–79%

0 0.0%

60–69%

0 0.0%

50–59%

0 0.0%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

100.0%

9 / 9

80%+

100.0%

9 / 9

70%+

100.0%

9 / 9

60%+

100.0%

9 / 9

50%+

100.0%

9 / 9

Unlock the full event analysis

Register free for historical ground trends, class averages and spread, score charts, class composition and a detailed classification breakdown.

Historical Trends at Brook Bank

Down The Line performance across events held at this ground.

Last 12 months

Overall Average Trend

Classification Trend Comparison

Classification Deep Dive

4 active classifications

—

Member insight

Typical —

Best —

Lowest —

Middle 50% score range

vs Ground Avg (12m)—

—

Member insight

Typical —

Best —

Lowest —

Middle 50% score range

vs Ground Avg (12m)—

—

Member insight

Typical —

Best —

Lowest —

Middle 50% score range

vs Ground Avg (12m)—

—

Member insight

Typical —

Best —

Lowest —

Middle 50% score range

vs Ground Avg (12m)—

Event Performance Analysis

Registered insight

Average by Class

Class averages make it easier to see where the event played hardest across the field.

Field Spread by Class

97.7-97.7%

93.3-96.0%

94.3-96.3%

92.7-92.7%

Boxes show the middle 50% of each class. Orange line is the median.

Top 10 Score Lollipop

A quick visual read of how far the front of the field separated itself.

Score Histogram

High gun: 97.7%. The high-gun band is outlined.

Class Breakdown

Rotate your device to see High/Low scores and the class winner

Class	Count	Average	High	Low	Winner
AA	1	97.7%	97.7%	97.7%	Gerrald Sweet
A	5	94.5%	96.0%	93.3%	Brian Prettejohn
B	2	95.3%	96.3%	94.3%	Paul Garnsworthy
C	1	92.7%	92.7%	92.7%	Paul Sharman

Class Composition

1 11.1%

5 55.6%

2 22.2%

1 11.1%

Largest class: A — 5 competitors (55.6%)

Full Results — 9 entries

🔒 The Class Rank and vs Class Avg columns are hidden — register free to unlock both insights.

Class AA

Score 293/300

vs Class Avg +0.0%

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Class B

Score 289/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 286/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 283/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 283/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 281/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 280/300

vs Class Avg +0.0%

Profile Open →

Class C

Score 278/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 96/100

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1	Gerrald Sweet	AA	293/300	97.67%	🔒 1	🔒 +0.0%
2	Paul Garnsworthy	B	289/300	96.33%	🔒 1	🔒 +0.0%
3	Brian Prettejohn	A	286/300	95.33%	🔒 1	🔒 +0.0%
4=	Geoff Eltham	B	283/300	94.33%	🔒 1	🔒 +0.0%
4=	Malcolm Brown	A	283/300	94.33%	🔒 1	🔒 +0.0%
6	Peter Bugler	A	281/300	93.67%	🔒 1	🔒 +0.0%
7	Martin Taylor	A	280/300	93.33%	🔒 1	🔒 +0.0%
8	Paul Sharman	C	278/300	92.67%	🔒 1	🔒 +0.0%
9	Mark Baker	A	96/100	96.00%	🔒 1	🔒 +0.0%

Other DTL Events at Brook Bank

⚙ Performance Stats DRAG TO MOVE

0.085s ● FAST

DB 83% · Py 14% · Render 3%

12 queries · avg 5.9ms · max 58.1ms

Render Breakdown

DB Logic (Pre-Render) 0.0703s

Python Logic (Pre-Render) 0.0117s

Full Page Render 0.0027s

QUERY TABLES ▾

⚠ event_review 4× 0.061s

shoot_event 2× 0.003s

shoot_score 2× 0.003s

site_configuration 2× 0.002s

ground 1× 0.001s

admin_menu_item 1× 0.001s

⚠ = queried 3+ times (cache candidate)

SQL QUERIES (12) — click to expand

#1 [00:18:45.255] 2.1ms

shoot_event

SELECT shoot_event.id AS shoot_event_id, shoot_event.cpsa_fixture_id AS shoot_event_cpsa_fixture_id, shoot_event.name AS shoot_event_name, shoot_event.date AS shoot_event_date, shoot_event.discipline AS shoot_event_discipline, shoot_event.ground AS shoot_event_ground, shoot_event.url AS shoot_event_…

#2 [00:18:45.257] 1.1ms

shoot_score

SELECT shoot_score.id AS shoot_score_id, shoot_score.targets AS shoot_score_targets, shoot_score.hits AS shoot_score_hits, shoot_score.points AS shoot_score_points, shoot_score.percentage AS shoot_score_percentage, shoot_score.shooter_id AS shoot_score_shooter_id, shoot_score.event_id AS shoot_score…

#3 [00:18:45.260] 1.6ms

shoot_score

SELECT avg(shoot_score.percentage) AS avg_1 
FROM shoot_score JOIN shoot_event ON shoot_score.event_id = shoot_event.id 
WHERE shoot_event.ground = %(ground_1)s AND shoot_event.discipline = %(discipline_1)s AND shoot_event.is_scraped = true AND shoot_event.admin_hidden != true AND shoot_event.id != …

#4 [00:18:45.262] 1.2ms

shoot_event

SELECT shoot_event.id AS shoot_event_id, shoot_event.cpsa_fixture_id AS shoot_event_cpsa_fixture_id, shoot_event.name AS shoot_event_name, shoot_event.date AS shoot_event_date, shoot_event.discipline AS shoot_event_discipline, shoot_event.ground AS shoot_event_ground, shoot_event.url AS shoot_event_…

#5 [00:18:45.321] 58.1ms

event_review

SELECT avg(event_review.rating) AS avg_1, count(event_review.id) AS count_1 
FROM event_review 
WHERE event_review.event_id = %(event_id_1)s

#6 [00:18:45.323] 1.1ms

event_review

SELECT count(*) AS count_1 
FROM (SELECT event_review.id AS event_review_id, event_review.event_id AS event_review_event_id, event_review.rating AS event_review_rating, event_review.review_text AS event_review_review_text, event_review.reviewer_name AS event_review_reviewer_name, event_review.review…

#7 [00:18:45.325] 1.0ms

event_review

SELECT event_review.id AS event_review_id, event_review.event_id AS event_review_event_id, event_review.rating AS event_review_rating, event_review.review_text AS event_review_review_text, event_review.reviewer_name AS event_review_reviewer_name, event_review.reviewer_hash AS event_review_reviewer_h…

#8 [00:18:45.327] 0.9ms

event_review

SELECT event_review.id AS event_review_id, event_review.event_id AS event_review_event_id, event_review.rating AS event_review_rating, event_review.review_text AS event_review_review_text, event_review.reviewer_name AS event_review_reviewer_name, event_review.reviewer_hash AS event_review_reviewer_h…

#9 [00:18:45.328] 0.8ms

ground

SELECT ground.id AS ground_id, ground.name AS ground_name, ground.url AS ground_url, ground.postcode AS ground_postcode, ground.what3words AS ground_what3words, ground.email AS ground_email, ground.website AS ground_website, ground.num_events_cpsa AS ground_num_events_cpsa, ground.num_events_cpsa_la…

#10 [00:18:45.329] 0.9ms

site_configuration

SELECT site_configuration.id AS site_configuration_id, site_configuration.key AS site_configuration_key, site_configuration.value AS site_configuration_value 
FROM site_configuration 
WHERE site_configuration.key LIKE %(key_1)s OR site_configuration.key LIKE %(key_2)s

#11 [00:18:45.331] 0.8ms

site_configuration

SELECT site_configuration.id AS site_configuration_id, site_configuration.key AS site_configuration_key, site_configuration.value AS site_configuration_value 
FROM site_configuration 
WHERE site_configuration.key IN (%(key_1_1)s, %(key_1_2)s, %(key_1_3)s, %(key_1_4)s)

#12 [00:18:45.332] 0.8ms

admin_menu_item

SELECT DISTINCT admin_menu_item.active_tab AS admin_menu_item_active_tab 
FROM admin_menu_item

LIVE REQUESTS (0) — click to expand

Down The Line at Brook Bank

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Historical Trends at Brook Bank

Classification Deep Dive

Event Performance Analysis

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